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Moving Object Detection under a Moving Camera via Background Orientation Reconstruction

Moving object detection under a moving camera is a challenging question, especially in a complex background. This paper proposes a background orientation field reconstruction method based on Poisson fusion for detecting moving objects under a moving camera. As enlightening by the optical flow orient...

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Detalles Bibliográficos
Autores principales: Zhang, Wenlong, Sun, Xiaoliang, Yu, Qifeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7309005/
https://www.ncbi.nlm.nih.gov/pubmed/32486336
http://dx.doi.org/10.3390/s20113103
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author Zhang, Wenlong
Sun, Xiaoliang
Yu, Qifeng
author_facet Zhang, Wenlong
Sun, Xiaoliang
Yu, Qifeng
author_sort Zhang, Wenlong
collection PubMed
description Moving object detection under a moving camera is a challenging question, especially in a complex background. This paper proposes a background orientation field reconstruction method based on Poisson fusion for detecting moving objects under a moving camera. As enlightening by the optical flow orientation of a background is not dependent on the scene depth, this paper reconstructs the background orientation through Poisson fusion based on the modified gradient. Then, the motion saliency map is calculated by the difference between the original and the reconstructed orientation field. Based on the similarity in appearance and motion, the paper also proposes a weighted accumulation enhancement method. It can highlight the motion saliency of the moving objects and improve the consistency within the object and background region simultaneously. Furthermore, the proposed method incorporates the motion continuity to reject the false positives. The experimental results obtained by employing publicly available datasets indicate that the proposed method can achieve excellent performance compared with current state-of-the-art methods.
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spelling pubmed-73090052020-06-25 Moving Object Detection under a Moving Camera via Background Orientation Reconstruction Zhang, Wenlong Sun, Xiaoliang Yu, Qifeng Sensors (Basel) Article Moving object detection under a moving camera is a challenging question, especially in a complex background. This paper proposes a background orientation field reconstruction method based on Poisson fusion for detecting moving objects under a moving camera. As enlightening by the optical flow orientation of a background is not dependent on the scene depth, this paper reconstructs the background orientation through Poisson fusion based on the modified gradient. Then, the motion saliency map is calculated by the difference between the original and the reconstructed orientation field. Based on the similarity in appearance and motion, the paper also proposes a weighted accumulation enhancement method. It can highlight the motion saliency of the moving objects and improve the consistency within the object and background region simultaneously. Furthermore, the proposed method incorporates the motion continuity to reject the false positives. The experimental results obtained by employing publicly available datasets indicate that the proposed method can achieve excellent performance compared with current state-of-the-art methods. MDPI 2020-05-30 /pmc/articles/PMC7309005/ /pubmed/32486336 http://dx.doi.org/10.3390/s20113103 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Zhang, Wenlong
Sun, Xiaoliang
Yu, Qifeng
Moving Object Detection under a Moving Camera via Background Orientation Reconstruction
title Moving Object Detection under a Moving Camera via Background Orientation Reconstruction
title_full Moving Object Detection under a Moving Camera via Background Orientation Reconstruction
title_fullStr Moving Object Detection under a Moving Camera via Background Orientation Reconstruction
title_full_unstemmed Moving Object Detection under a Moving Camera via Background Orientation Reconstruction
title_short Moving Object Detection under a Moving Camera via Background Orientation Reconstruction
title_sort moving object detection under a moving camera via background orientation reconstruction
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7309005/
https://www.ncbi.nlm.nih.gov/pubmed/32486336
http://dx.doi.org/10.3390/s20113103
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